mirror of https://github.com/apache/druid.git
fix dependent PostAggregators
This commit is contained in:
parent
ecfa6bd1b1
commit
d66ae5ac10
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@ -0,0 +1,53 @@
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/*
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* Druid - a distributed column store.
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* Copyright (C) 2012, 2013, 2014 Metamarkets Group Inc.
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*/
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package io.druid.query.aggregation;
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import com.google.common.collect.Lists;
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import java.util.HashSet;
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import java.util.LinkedList;
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import java.util.List;
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import java.util.Set;
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public class AggregatorUtil
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{
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/** returns the list of dependent postAggregators that should be calculated in order to calculate given postAgg
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* @param postAggregatorList List of postAggregator, there is a restriction that the postAgg should be in order that it can
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* @param postAggName name of the postAgg on which dependency is to be calculated
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*/
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public static List<PostAggregator> pruneDependentPostAgg(List<PostAggregator> postAggregatorList, String postAggName)
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{
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LinkedList<PostAggregator> rv = Lists.newLinkedList();
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Set<String> deps = new HashSet<>();
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deps.add(postAggName);
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// Iterate backwards to calculate deps
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for (int i = postAggregatorList.size() - 1; i >= 0; i--) {
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PostAggregator agg = postAggregatorList.get(i);
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if (deps.contains(agg.getName())) {
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rv.addFirst(agg); // add to the beginning of List
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deps.remove(agg.getName());
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deps.addAll(agg.getDependentFields());
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}
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}
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return rv;
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}
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}
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@ -56,7 +56,6 @@ public class AggregateTopNMetricFirstAlgorithm implements TopNAlgorithm<int[], T
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this.bufferPool = bufferPool;
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}
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@Override
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public TopNParams makeInitParams(
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DimensionSelector dimSelector, Cursor cursor
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@ -69,7 +68,12 @@ public class AggregateTopNMetricFirstAlgorithm implements TopNAlgorithm<int[], T
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public TopNResultBuilder makeResultBuilder(TopNParams params)
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{
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return query.getTopNMetricSpec().getResultBuilder(
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params.getCursor().getTime(), query.getDimensionSpec(), query.getThreshold(), comparator
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params.getCursor().getTime(),
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query.getDimensionSpec(),
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query.getThreshold(),
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comparator,
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query.getAggregatorSpecs(),
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query.getPostAggregatorSpecs()
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);
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}
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@ -60,7 +60,12 @@ public class DimExtractionTopNAlgorithm extends BaseTopNAlgorithm<Aggregator[][]
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public TopNResultBuilder makeResultBuilder(TopNParams params)
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{
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return query.getTopNMetricSpec().getResultBuilder(
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params.getCursor().getTime(), query.getDimensionSpec(), query.getThreshold(), comparator
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params.getCursor().getTime(),
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query.getDimensionSpec(),
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query.getThreshold(),
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comparator,
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query.getAggregatorSpecs(),
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query.getPostAggregatorSpecs()
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);
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}
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@ -144,9 +149,7 @@ public class DimExtractionTopNAlgorithm extends BaseTopNAlgorithm<Aggregator[][]
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resultBuilder.addEntry(
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entry.getKey(),
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entry.getKey(),
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vals,
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query.getAggregatorSpecs(),
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query.getPostAggregatorSpecs()
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vals
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);
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}
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}
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@ -75,10 +75,12 @@ public class InvertedTopNMetricSpec implements TopNMetricSpec
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DateTime timestamp,
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DimensionSpec dimSpec,
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int threshold,
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Comparator comparator
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Comparator comparator,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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)
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{
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return delegate.getResultBuilder(timestamp, dimSpec, threshold, comparator);
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return delegate.getResultBuilder(timestamp, dimSpec, threshold, comparator, aggFactories, postAggs);
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}
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@Override
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@ -80,10 +80,12 @@ public class LexicographicTopNMetricSpec implements TopNMetricSpec
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DateTime timestamp,
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DimensionSpec dimSpec,
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int threshold,
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Comparator comparator
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Comparator comparator,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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)
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{
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return new TopNLexicographicResultBuilder(timestamp, dimSpec, threshold, previousStop, comparator);
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return new TopNLexicographicResultBuilder(timestamp, dimSpec, threshold, previousStop, comparator, aggFactories);
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}
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@Override
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@ -121,10 +121,12 @@ public class NumericTopNMetricSpec implements TopNMetricSpec
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DateTime timestamp,
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DimensionSpec dimSpec,
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int threshold,
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Comparator comparator
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Comparator comparator,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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)
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{
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return new TopNNumericResultBuilder(timestamp, dimSpec, metric, threshold, comparator);
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return new TopNNumericResultBuilder(timestamp, dimSpec, metric, threshold, comparator, aggFactories, postAggs);
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}
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@Override
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@ -35,7 +35,8 @@ import java.util.Comparator;
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/**
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*/
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public class PooledTopNAlgorithm extends BaseTopNAlgorithm<int[], BufferAggregator[], PooledTopNAlgorithm.PooledTopNParams>
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public class PooledTopNAlgorithm
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extends BaseTopNAlgorithm<int[], BufferAggregator[], PooledTopNAlgorithm.PooledTopNParams>
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{
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private final Capabilities capabilities;
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private final TopNQuery query;
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@ -117,7 +118,12 @@ public class PooledTopNAlgorithm extends BaseTopNAlgorithm<int[], BufferAggregat
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public TopNResultBuilder makeResultBuilder(PooledTopNParams params)
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{
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return query.getTopNMetricSpec().getResultBuilder(
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params.getCursor().getTime(), query.getDimensionSpec(), query.getThreshold(), comparator
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params.getCursor().getTime(),
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query.getDimensionSpec(),
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query.getThreshold(),
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comparator,
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query.getAggregatorSpecs(),
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query.getPostAggregatorSpecs()
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);
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}
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@ -217,9 +223,7 @@ public class PooledTopNAlgorithm extends BaseTopNAlgorithm<int[], BufferAggregat
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resultBuilder.addEntry(
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dimSelector.lookupName(i),
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i,
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vals,
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query.getAggregatorSpecs(),
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query.getPostAggregatorSpecs()
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vals
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);
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}
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}
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@ -228,7 +232,7 @@ public class PooledTopNAlgorithm extends BaseTopNAlgorithm<int[], BufferAggregat
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@Override
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protected void closeAggregators(BufferAggregator[] bufferAggregators)
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{
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for(BufferAggregator agg : bufferAggregators) {
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for (BufferAggregator agg : bufferAggregators) {
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agg.close();
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}
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}
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@ -246,11 +250,6 @@ public class PooledTopNAlgorithm extends BaseTopNAlgorithm<int[], BufferAggregat
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public static class PooledTopNParams extends TopNParams
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{
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public static Builder builder()
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{
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return new Builder();
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}
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private final ResourceHolder<ByteBuffer> resultsBufHolder;
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private final ByteBuffer resultsBuf;
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private final int[] aggregatorSizes;
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@ -278,6 +277,11 @@ public class PooledTopNAlgorithm extends BaseTopNAlgorithm<int[], BufferAggregat
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this.arrayProvider = arrayProvider;
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}
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public static Builder builder()
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{
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return new Builder();
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}
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public ResourceHolder<ByteBuffer> getResultsBufHolder()
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{
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return resultsBufHolder;
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@ -24,6 +24,7 @@ import io.druid.granularity.AllGranularity;
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import io.druid.granularity.QueryGranularity;
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import io.druid.query.Result;
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import io.druid.query.aggregation.AggregatorFactory;
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import io.druid.query.aggregation.AggregatorUtil;
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import io.druid.query.aggregation.PostAggregator;
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import io.druid.query.dimension.DimensionSpec;
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import org.joda.time.DateTime;
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@ -63,9 +64,13 @@ public class TopNBinaryFn implements BinaryFn<Result<TopNResultValue>, Result<To
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this.topNMetricSpec = topNMetricSpec;
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this.threshold = threshold;
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this.aggregations = aggregatorSpecs;
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this.postAggregations = postAggregatorSpecs;
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this.dimensionSpec = dimSpec;
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this.postAggregations = AggregatorUtil.pruneDependentPostAgg(
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postAggregatorSpecs,
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this.topNMetricSpec.getMetricName(this.dimensionSpec)
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);
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this.comparator = topNMetricSpec.getComparator(aggregatorSpecs, postAggregatorSpecs);
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}
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@ -94,7 +99,7 @@ public class TopNBinaryFn implements BinaryFn<Result<TopNResultValue>, Result<To
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DimensionAndMetricValueExtractor arg1Val = retVals.get(dimensionValue);
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if (arg1Val != null) {
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// size of map = aggregattor + topNDim + postAgg (If sorting is done on post agg field)
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// size of map = aggregator + topNDim + postAgg (If sorting is done on post agg field)
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Map<String, Object> retVal = new LinkedHashMap<String, Object>(aggregations.size() + 2);
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retVal.put(dimension, dimensionValue);
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@ -103,9 +108,7 @@ public class TopNBinaryFn implements BinaryFn<Result<TopNResultValue>, Result<To
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retVal.put(metricName, factory.combine(arg1Val.getMetric(metricName), arg2Val.getMetric(metricName)));
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}
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for (PostAggregator postAgg : postAggregations) {
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if (postAgg.getName().equalsIgnoreCase(topNMetricName)) {
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retVal.put(postAgg.getName(), postAgg.compute(retVal));
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}
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retVal.put(postAgg.getName(), postAgg.compute(retVal));
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}
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retVals.put(dimensionValue, new DimensionAndMetricValueExtractor(retVal));
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@ -121,7 +124,14 @@ public class TopNBinaryFn implements BinaryFn<Result<TopNResultValue>, Result<To
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timestamp = gran.toDateTime(gran.truncate(arg1.getTimestamp().getMillis()));
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}
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TopNResultBuilder bob = topNMetricSpec.getResultBuilder(timestamp, dimSpec, threshold, comparator);
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TopNResultBuilder bob = topNMetricSpec.getResultBuilder(
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timestamp,
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dimSpec,
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threshold,
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comparator,
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aggregations,
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postAggregations
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);
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for (DimensionAndMetricValueExtractor extractor : retVals.values()) {
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bob.addEntry(extractor);
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}
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@ -40,7 +40,7 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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private final DateTime timestamp;
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private final DimensionSpec dimSpec;
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private final String previousStop;
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private final List<AggregatorFactory> aggFactories;
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private MinMaxPriorityQueue<DimValHolder> pQueue = null;
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public TopNLexicographicResultBuilder(
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@ -48,12 +48,14 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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DimensionSpec dimSpec,
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int threshold,
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String previousStop,
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final Comparator comparator
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final Comparator comparator,
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List<AggregatorFactory> aggFactories
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)
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{
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this.timestamp = timestamp;
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this.dimSpec = dimSpec;
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this.previousStop = previousStop;
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this.aggFactories = aggFactories;
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instantiatePQueue(threshold, comparator);
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}
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@ -62,9 +64,7 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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public TopNResultBuilder addEntry(
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String dimName,
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Object dimValIndex,
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Object[] metricVals,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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Object[] metricVals
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)
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{
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Map<String, Object> metricValues = Maps.newLinkedHashMap();
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|
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@ -47,7 +47,9 @@ public interface TopNMetricSpec
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DateTime timestamp,
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DimensionSpec dimSpec,
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int threshold,
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Comparator comparator
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Comparator comparator,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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);
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public byte[] getCacheKey();
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@ -23,6 +23,7 @@ import com.google.common.collect.Maps;
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import com.google.common.collect.MinMaxPriorityQueue;
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import io.druid.query.Result;
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import io.druid.query.aggregation.AggregatorFactory;
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import io.druid.query.aggregation.AggregatorUtil;
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import io.druid.query.aggregation.PostAggregator;
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import io.druid.query.dimension.DimensionSpec;
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import org.joda.time.DateTime;
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@ -40,6 +41,8 @@ public class TopNNumericResultBuilder implements TopNResultBuilder
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private final DateTime timestamp;
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private final DimensionSpec dimSpec;
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private final String metricName;
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private final List<AggregatorFactory> aggFactories;
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private final List<PostAggregator> postAggs;
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private MinMaxPriorityQueue<DimValHolder> pQueue = null;
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public TopNNumericResultBuilder(
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@ -47,12 +50,16 @@ public class TopNNumericResultBuilder implements TopNResultBuilder
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DimensionSpec dimSpec,
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String metricName,
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int threshold,
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final Comparator comparator
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final Comparator comparator,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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)
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{
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this.timestamp = timestamp;
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this.dimSpec = dimSpec;
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this.metricName = metricName;
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this.aggFactories = aggFactories;
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this.postAggs = AggregatorUtil.pruneDependentPostAgg(postAggs, this.metricName);
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instantiatePQueue(threshold, comparator);
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}
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@ -61,9 +68,7 @@ public class TopNNumericResultBuilder implements TopNResultBuilder
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public TopNResultBuilder addEntry(
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String dimName,
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Object dimValIndex,
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Object[] metricVals,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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Object[] metricVals
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)
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{
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Map<String, Object> metricValues = Maps.newLinkedHashMap();
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|
@ -76,10 +81,7 @@ public class TopNNumericResultBuilder implements TopNResultBuilder
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}
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for (PostAggregator postAgg : postAggs) {
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if (postAgg.getName().equalsIgnoreCase(metricName)) {
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metricValues.put(postAgg.getName(), postAgg.compute(metricValues));
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break;
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}
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metricValues.put(postAgg.getName(), postAgg.compute(metricValues));
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}
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Object topNMetricVal = metricValues.get(metricName);
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|
|
|
@ -33,9 +33,7 @@ public interface TopNResultBuilder
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public TopNResultBuilder addEntry(
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String dimName,
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Object dimValIndex,
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Object[] metricVals,
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List<AggregatorFactory> aggFactories,
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List<PostAggregator> postAggs
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Object[] metricVals
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);
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public TopNResultBuilder addEntry(
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|
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@ -60,6 +60,7 @@ public class QueryRunnerTestHelper
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public static final String indexMetric = "index";
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public static final String uniqueMetric = "uniques";
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public static final String addRowsIndexConstantMetric = "addRowsIndexConstant";
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public static String dependentPostAggMetric = "dependentPostAgg";
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public static final CountAggregatorFactory rowsCount = new CountAggregatorFactory("rows");
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public static final LongSumAggregatorFactory indexLongSum = new LongSumAggregatorFactory("index", "index");
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public static final DoubleSumAggregatorFactory indexDoubleSum = new DoubleSumAggregatorFactory("index", "index");
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|
@ -72,8 +73,19 @@ public class QueryRunnerTestHelper
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public static final FieldAccessPostAggregator indexPostAgg = new FieldAccessPostAggregator("index", "index");
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public static final ArithmeticPostAggregator addRowsIndexConstant =
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new ArithmeticPostAggregator(
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"addRowsIndexConstant", "+", Lists.newArrayList(constant, rowsPostAgg, indexPostAgg)
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addRowsIndexConstantMetric, "+", Lists.newArrayList(constant, rowsPostAgg, indexPostAgg)
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);
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// dependent on AddRowsIndexContact postAgg
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public static final ArithmeticPostAggregator dependentPostAgg = new ArithmeticPostAggregator(
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dependentPostAggMetric,
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"+",
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Lists.newArrayList(
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constant,
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new FieldAccessPostAggregator(addRowsIndexConstantMetric, addRowsIndexConstantMetric)
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)
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);
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public static final List<AggregatorFactory> commonAggregators = Arrays.asList(
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rowsCount,
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indexDoubleSum,
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|
|
|
@ -0,0 +1,69 @@
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/*
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* Druid - a distributed column store.
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||||
* Copyright (C) 2012, 2013, 2014 Metamarkets Group Inc.
|
||||
*
|
||||
* This program is free software; you can redistribute it and/or
|
||||
* modify it under the terms of the GNU General Public License
|
||||
* as published by the Free Software Foundation; either version 2
|
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* of the License, or (at your option) any later version.
|
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*
|
||||
* This program is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU General Public License for more details.
|
||||
*
|
||||
* You should have received a copy of the GNU General Public License
|
||||
* along with this program; if not, write to the Free Software
|
||||
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
|
||||
*/
|
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|
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package io.druid.query.aggregation;
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import com.google.common.collect.Lists;
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import io.druid.query.aggregation.post.ArithmeticPostAggregator;
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import io.druid.query.aggregation.post.ConstantPostAggregator;
|
||||
import io.druid.query.aggregation.post.FieldAccessPostAggregator;
|
||||
import org.junit.Assert;
|
||||
import org.junit.Test;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
public class AggregatorUtilTest
|
||||
{
|
||||
|
||||
@Test
|
||||
public void testPruneDependentPostAgg()
|
||||
{
|
||||
PostAggregator agg1 = new ArithmeticPostAggregator(
|
||||
"abc", "+", Lists.<PostAggregator>newArrayList(
|
||||
new ConstantPostAggregator("1", 1L, 1L), new ConstantPostAggregator("2", 2L, 2L)
|
||||
)
|
||||
);
|
||||
PostAggregator dependency1 = new ArithmeticPostAggregator(
|
||||
"dep1", "+", Lists.<PostAggregator>newArrayList(
|
||||
new ConstantPostAggregator("1", 1L, 1L), new ConstantPostAggregator("4", 4L, 4L)
|
||||
)
|
||||
);
|
||||
PostAggregator agg2 = new FieldAccessPostAggregator("def", "def");
|
||||
PostAggregator dependency2 = new FieldAccessPostAggregator("dep2", "dep2");
|
||||
PostAggregator aggregator = new ArithmeticPostAggregator(
|
||||
"finalAgg",
|
||||
"+",
|
||||
Lists.<PostAggregator>newArrayList(
|
||||
new FieldAccessPostAggregator("dep1", "dep1"),
|
||||
new FieldAccessPostAggregator("dep2", "dep2")
|
||||
)
|
||||
);
|
||||
List<PostAggregator> prunedAgg = AggregatorUtil.pruneDependentPostAgg(
|
||||
Lists.newArrayList(
|
||||
agg1,
|
||||
dependency1,
|
||||
agg2,
|
||||
dependency2,
|
||||
aggregator
|
||||
), aggregator.getName()
|
||||
);
|
||||
Assert.assertEquals(Lists.newArrayList(dependency1, dependency2, aggregator), prunedAgg);
|
||||
}
|
||||
|
||||
}
|
|
@ -1176,4 +1176,75 @@ public class TopNQueryRunnerTest
|
|||
|
||||
TestHelper.assertExpectedResults(expectedResults, runner.run(query));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testTopNDependentPostAgg() {
|
||||
TopNQuery query = new TopNQueryBuilder()
|
||||
.dataSource(QueryRunnerTestHelper.dataSource)
|
||||
.granularity(QueryRunnerTestHelper.allGran)
|
||||
.dimension(providerDimension)
|
||||
.metric(QueryRunnerTestHelper.dependentPostAggMetric)
|
||||
.threshold(4)
|
||||
.intervals(QueryRunnerTestHelper.fullOnInterval)
|
||||
.aggregators(
|
||||
Lists.<AggregatorFactory>newArrayList(
|
||||
Iterables.concat(
|
||||
QueryRunnerTestHelper.commonAggregators,
|
||||
Lists.newArrayList(
|
||||
new MaxAggregatorFactory("maxIndex", "index"),
|
||||
new MinAggregatorFactory("minIndex", "index")
|
||||
)
|
||||
)
|
||||
)
|
||||
)
|
||||
.postAggregators(
|
||||
Arrays.<PostAggregator>asList(
|
||||
QueryRunnerTestHelper.addRowsIndexConstant,
|
||||
QueryRunnerTestHelper.dependentPostAgg
|
||||
)
|
||||
)
|
||||
.build();
|
||||
|
||||
List<Result<TopNResultValue>> expectedResults = Arrays.asList(
|
||||
new Result<TopNResultValue>(
|
||||
new DateTime("2011-01-12T00:00:00.000Z"),
|
||||
new TopNResultValue(
|
||||
Arrays.<Map<String, Object>>asList(
|
||||
ImmutableMap.<String, Object>builder()
|
||||
.put(providerDimension, "total_market")
|
||||
.put("rows", 186L)
|
||||
.put("index", 215679.82879638672D)
|
||||
.put("addRowsIndexConstant", 215866.82879638672D)
|
||||
.put(QueryRunnerTestHelper.dependentPostAggMetric, 215867.82879638672D)
|
||||
.put("uniques", QueryRunnerTestHelper.UNIQUES_2)
|
||||
.put("maxIndex", 1743.9217529296875D)
|
||||
.put("minIndex", 792.3260498046875D)
|
||||
.build(),
|
||||
ImmutableMap.<String, Object>builder()
|
||||
.put(providerDimension, "upfront")
|
||||
.put("rows", 186L)
|
||||
.put("index", 192046.1060180664D)
|
||||
.put("addRowsIndexConstant", 192233.1060180664D)
|
||||
.put(QueryRunnerTestHelper.dependentPostAggMetric, 192234.1060180664D)
|
||||
.put("uniques", QueryRunnerTestHelper.UNIQUES_2)
|
||||
.put("maxIndex", 1870.06103515625D)
|
||||
.put("minIndex", 545.9906005859375D)
|
||||
.build(),
|
||||
ImmutableMap.<String, Object>builder()
|
||||
.put(providerDimension, "spot")
|
||||
.put("rows", 837L)
|
||||
.put("index", 95606.57232284546D)
|
||||
.put("addRowsIndexConstant", 96444.57232284546D)
|
||||
.put(QueryRunnerTestHelper.dependentPostAggMetric, 96445.57232284546D)
|
||||
.put("uniques", QueryRunnerTestHelper.UNIQUES_9)
|
||||
.put("maxIndex", 277.2735290527344D)
|
||||
.put("minIndex", 59.02102279663086D)
|
||||
.build()
|
||||
)
|
||||
)
|
||||
)
|
||||
);
|
||||
|
||||
TestHelper.assertExpectedResults(expectedResults, runner.run(query));
|
||||
}
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue